An Image Sorting Algorithm Based on SIFT Feature Matching

被引：0
|
作者：
Ying, Zhou [1 ]
Jun, Zhang [2 ]
机构：
[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian, Peoples R China
[2] Northwestern Polytech Univ, Sch Automat, Xian, Peoples R China
来源：
2015 INTERNATIONAL CONFERENCE ON COMPUTER AND COMPUTATIONAL SCIENCES (ICCCS) | 2015年
关键词：
Panoramic image mosaic; SIFT; sorting algorithm;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The panoramic image mosaic technology means images with partial overlapping area are composited to a 360-degree circular image which describes the information of a certain scene. A hotspot of this technology is how to determine the image order accurately and fast when the number of images is large. In this paper, we present a novel image sorting algorithm based on SIFT(Scale-Invariant Features Transform). In the proposed method, matching feature is firstly characterized by calculating the number of matching points between images to find the nearest image of a certain one. After calculating the matching points one by one, an accurate picture order could be finally obtained. The results show the effectiveness of the proposed algorithm.
引用
收藏
页码：275 / 278
页数：4
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